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We introduce a novel metric space search data structure called EGNAT, which is fully dynamic and designed for secondary memory. The EGNAT is based on Brin's GNAT static index, and partitions the space according to hyperplanes. The EGNAT implements deletions using a novel technique dubbed Ghost Hyperplanes, which is of independent interest for other metric space indexes. We show experimentally that...
Recent advances in compressed data structures have led to the new concept of self-indexing; it is possible to represent a sequence of symbols compressed in a form that enables fast queries on the content of the sequence. This paper studies different analogies of self-indexing on images. First, we show that a key ingredient of many self-indexes for sequences, namely the wavelet tree, can be used to...
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